Text Classification
Transformers
TensorFlow
TensorBoard
Safetensors
longformer
Generated from Trainer
Instructions to use nathanReitinger/scotusPRED with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nathanReitinger/scotusPRED with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="nathanReitinger/scotusPRED")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("nathanReitinger/scotusPRED") model = AutoModelForSequenceClassification.from_pretrained("nathanReitinger/scotusPRED", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from nathanReitinger/scotusPRED: direct link, hf CLI and curl.
- Browser
- Download file 4.98 kB
-
https://huggingface.co/nathanReitinger/scotusPRED/resolve/main/training_args.bin
- Command line
-
hf download hf://nathanReitinger/scotusPRED/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/nathanReitinger/scotusPRED/resolve/main/training_args.bin
4.98 kB
- Xet hash:
- e4f5feb2f0009bc063c21880b4299d918084271a540c6384a1e2cd47c9c975d2
- Size of remote file:
- 4.98 kB
- SHA256:
- 9a48b9430ef930f72b59bac60ca43c1258fa403d12d04c4938856f69443622f6
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